Hello Tom,
I have a couple of questions where I need your help to understand better in Evolution Strategy Bayesian Agent.
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In predict function, I understood that you are using a bayesian model for finding optimized parameters then feeding to predict function,
In predict function I see some custom calculation using .dot method based on weights.
Can you please clarify what predict function is doing, is it a custom prediction of your own or any standard model is being used.
-
I also noticed the agent/model is using only "closed" column in stock data. I believe that, To make it more efficient can we use more data columns(ex: "volume" etc) or not? Can you please let me know how to feed more data inputs for prediction function in this context.
Appreciate your help.
Hello Tom,
I have a couple of questions where I need your help to understand better in Evolution Strategy Bayesian Agent.
In predict function, I understood that you are using a bayesian model for finding optimized parameters then feeding to predict function,
In predict function I see some custom calculation using .dot method based on weights.
Can you please clarify what predict function is doing, is it a custom prediction of your own or any standard model is being used.
I also noticed the agent/model is using only "closed" column in stock data. I believe that, To make it more efficient can we use more data columns(ex: "volume" etc) or not? Can you please let me know how to feed more data inputs for prediction function in this context.
Appreciate your help.